"Understanding Perl, Language Server Protocol (LSP), and Abstract Syntax Trees (AST)" matching MCP servers:

A zero-dependency Node.js playground for debugging how MCP clients authenticate to an MCP server over HTTP.

Wraps the CodeQL Language Server Protocol to enable LLM agents to write CodeQL queries with intelligent code completion, hover information, and other language features.

Trust, identity, and reputation infrastructure for AI agents. Register agents with W3C DID (Ed25519), check EigenTrust reputation scores, submit peer attestations, search agents by capability, and verify IPFS-anchored audit trails. 11 tools.

Security-enforcing MCP proxy that sits between an AI agent and any number of downstream MCP servers, intercepting every tool call through a capability-token policy gateway that can allow, deny, or escalate to human approval before the call reaches any real tool. It also exposes built-in operator tools for approval workflows, audit trail queries, token management, voice/HUD output, and hierarchical

MCP/REST endpoints for token safety scans, honeypot checks, ecosystem stats, and on-chain task rewards.

Local MCP server for Bind Protocol — credential parsing, verification, and hashing tools for AI agents.

A production-grade, type-safe MCP server for memory forensics via Volatility 3, enabling LLM-assisted incident response without timeouts or evidence spoliation.

Autopoietic digital protocol for verifying human-AI authorship. Implements the 51/49 functional convention via SHA-256 hashing and MCP tools (certify_authorship). Ready for Blockchain anchoring.

Official reference MCP server for A202, the Verifiable Agreement Protocol for Agent-Led Commerce. Gives an agent the seven capabilities two organisations need to buy and sell directly: issue a mandate, check what an agent may do under it, approve an act needing a person, form an agreement, exchange obligations, verify a record by replay, and read the transaction record back.

The accountability layer for AI agents — a named human's signed yes before an agent does anything irreversible (payment, record change, deploy), then an offline-verifiable Trust Receipt. Apache-2.0, formally verified.

Provides 110+ tools for identity verification, compliance, and workspace operations through the Model Context Protocol.

Soma is a protocol for agents to trust each other: a message is an envelope with a hard token budget, a mandate, a price and an Ed25519 signature, so refusals name the rule and context degradation is declared. Ships MCP, A2A and x402 carriers, three-tier memory, signed receipts, reputation from facts, federation with portable history, and a conformance suite any implementation can pass.

IMCP - Insecure Model Context Protocol The DVWA for AI Security! Welcome to IMCP – a deliberately vulnerable framework that exposes 16 critical security weaknesses in AI/ML systems. Whether you're a security researcher, developer, or educator, IMCP is your playground for hands-on learning about real

Enables creation, verification, and evolution of cryptographically verifiable AI agent identities (.01ai) via MCP for Claude Desktop and other MCP clients.

Enforces safety and governance for SQL queries executed by AI agents, providing read-only enforcement, cost estimation, and audit trails.

A verifying MCP gateway that pins approved tool manifests and skill files to content addresses, blocking tampered descriptions before they reach model context.

Enables AI agents to securely reach enterprise tools and other agents through a governed gateway with pinned tool definitions, delegated authorization, content inspection, human approval, and signed audit trails.

Enables named, authenticated callers to run read-only introspection of a Google Cloud project and to read and write per-tenant notes that stay isolated between callers. Every request is scope-checked against a reviewed policy, rate-limited per caller, and audited without ever logging argument values.

Enables AI agents to create and verify tamper-evident cryptographic evidence, manage key-bound Agent Passports, and support verifiable handoffs, approvals, and audit trails through MCP, REST, and A2A.

Security middleware for LLM apps and AI agent pipelines. Detects prompt injection attacks (22 signatures, 7 languages) and anonymizes PII (17 entity types). Deterministic, sub-25ms, GDPR Art.30 compliant.

Provides cryptographic identity and signing capabilities for AI agents, enabling them to create persistent identities, sign actions with private keys, and allow external systems to verify the authenticity and provenance of agent-initiated operations.

Enables AI agents to record structured pitfalls (problem, root cause, solution), query experience others have already verified, check an agent's reputation, and repay trust signals when adopting someone else's findings. Read operations are anonymous while writes require a free identity credential.

Validates URLs and checks their reputation to help identify AI hallucinations and verify web page authenticity.

Enables AI compliance attestation and verification for EU AI Act, HIPAA, and other regulations, with tools for signing, proving, and anchoring AI decisions to Hedera mainnet.

Implements a secure message communication protocol for handling exchanges between the banking chatbot and Azure OpenAI, providing message queuing, reliability, and detailed logging.

Stateless Streamable HTTP MCP endpoint with OAuth 2.1 authentication via Cloudflare Workers, supporting PKCE, DCR, and token introspection.

Compare service-grant changes, tool alias origins, and saved MCP tool definitions with Gooo rules. Reports preserve incomplete-capture uncertainty and source bindings. No grants are applied and no compared tools are invoked.

Enforces mandatory human approval before LLM agents can edit files, create files, or execute shell commands, using session tokens and audit logging.

Deterministic AI safety policy engine with Z3 formal verification. Write, verify, simulate, and enforce machine-verifiable safety constraints for AI agents. Completely outside the LLM.

An in-memory security MCP server for AI agents and coding copilots that prevents sensitive tool parameters and API keys from leaking into LLM context windows. Isolates execution arguments in local RAM using ephemeral cryptographic commitments and deterministic memory zeroization.